Database of known eclipsing binaries (according to O-C gateway)

In the list bellow, there are all known eclipsing binaries, their coordinates, elements and neglection rating in last 10 years.

All data were passed from O-C gateway maintained by Anton Paschke.

And, Ant, Aps, Aql, Aqr, Ara, Ari, Aur, Boo, Cae, Cam, Cap, Car, Cas, Cen, Cep, Cet, Cir, CMa, CMi, Cnc, Col, Com, CrA, CrB, Crt, Cru, Crv, CVn, Cyg, Del, Dor, Dra, Equ, Eri, For, Gem, Gru, Her, Hor, Hya, Hyi, Cha, Ind, Lac, Leo, LMi, Lep, Lib, Lup, Lyn, Lyr, Men, Mic, Mon, Mus, Nor, Oct, Oph, Ori, Pav, Peg, Per, Phe, Pic, Psc, PsA, Pup, Pyx, Ret, Sco, Scl, Sct, Ser, Sex, Sge, Sgr, Tau, Tel, Tri, TrA, Tuc, UMa, UMi, Vel, Vir, Vol, Vul,

STAR And			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
RT	p	1	34	1576	0.62892951	51463.24	23:11:10.11	+53:1:33.2	8.55	9.47	8.88	V	predict
RT	s	1	34	1576	0.62892951	55758.5155	23:11:10.11	+53:1:33.2	8.55	9.47	8.88	V	predict
SY	p	10	0	44	34.9089	51448.668	0:13:16.4	+43:42:42	10.7	12.2	10.7	V	predict
TT	p	8	2	114	2.76512	55039.4804	23:13:22.9	+46:8:51	11.5	13	11.6	V	predict
TW	p	8	3	178	4.122766	52910.01	0:3:18.19	+32:50:45.1	8.8	10.86	8.94	V	predict
TW	s	8	3	178	4.122766	39022.4718	0:3:18.19	+32:50:45.1	8.8	10.86	8.94	V	predict
UU	p	6	4	223	1.486301	55456.62189	0:43:45.1	+30:56:20	11.2	14.2	11.2	V	predict
UU	s	6	4	223	1.486301	41651.113	0:43:45.1	+30:56:20	11.2	14.2	11.2	V	predict
WW	p	10	0	34	23.28527	22719.4	23:44:53.54	+45:41:11.5	10.3	11.4	10.3	V	predict
WX	p	7	3	42	3.00114	34678.656	0:45:37.4	+28:45:0	12.1	13.8	12.1	V	predict
WZ	p	1	15	414	0.695661	42683.771	1:1:43.7	+38:5:47	11.6	12.7	11.9	P	predict
WZ	s	1	15	414	0.695661	42684.119	1:1:43.7	+38:5:47	11.6	12.7	11.9	P	predict
XZ	p	1	20	1098	1.3572855	23977.1915	1:56:51.5	+42:6:3	10.02	12.99	10.03	P	predict
XZ	s	1	20	1098	1.3572855	23977.8711	1:56:51.5	+42:6:3	10.02	12.99	10.03	P	predict
AA	p	1	9	52	0.9350967	29880.74	23:5:22.85	+47:40:34.8	10.3	10.9	10.5	P	predict
AA	s	1	9	52	0.9350967	52224.414	23:5:22.85	+47:40:34.8	10.3	10.9	10.5	P	predict
AB	p	1	54	1992	0.3318893	16103.759	23:11:32.01	+36:53:35.6	9.5	10.32	10.2	V	predict
AB	s	1	54	1992	0.3318893	16103.925	23:11:32.01	+36:53:35.6	9.5	10.32	10.2	V	predict
AD	p	1	18	295	0.986194	39002.435	23:36:45	+48:40:16	10.9	11.6	11.6	P	predict
AD	s	1	18	295	0.986194	39002.9281	23:36:45	+48:40:16	10.9	11.6	11.6	P	predict
AM	p	10	0	23	8.85051	30696.373	0:5:7.5	+48:27:5	12.5	13.7	12.5	P	predict
AN	p	9	1	18	3.219564	36095.726	23:18:23.33	+41:46:25.3	6	6.16	6.09	P	predict
AP	p	1	61	219	1.587291	54017.6636	23:49:30.8	+45:47:21	11.3	11.9	11.9	P	predict
AP	s	1	61	219	1.587291	26274.19565	23:49:30.8	+45:47:21	11.3	11.9	11.9	P	predict
AS	p	6	4	9	2.420602	54787.6587	23:39:2.2	+47:14:48	13.8	15.2	13.8	P	predict
BD	p	1	34	131	0.4629026	34962.4	23:7:5.2	+50:57:31	11.3	11.7	11.4	P	predict
BD	s	1	34	131	0.4629026	29139.305	23:7:5.2	+50:57:31	11.3	11.7	11.4	P	predict
BL	p	1	12	113	0.722376	47481.316	23:11:24.2	+51:52:32	11	11.74	11.24	P	predict
BL	s	1	12	113	0.722376	50727.3182	23:11:24.2	+51:52:32	11	11.74	11.24	P	predict
BO	p	9	1	32	5.79741	27360.31	22:58:38.2	+45:31:51	13.4	16.3	13.4	P	predict
BX	p	1	22	328	0.61011291	52231.27	2:9:3.42	+40:47:39.2	8.9	9.57	9.15	P	predict
BX	s	1	22	328	0.61011291	55475.5505	2:9:3.42	+40:47:39.2	8.9	9.57	9.15	P	predict
CD	p	10	0	17	34.4438	51799.56	1:26:28.4	+44:21:25	9.8	10.3	9.8	P	predict
CN	p	1	25	173	0.4627909	46711.533	0:20:30.6	+40:13:34	9.7	10.25	9.96	V	predict
CN	s	1	25	173	0.4627909	52516.5514	0:20:30.6	+40:13:34	9.7	10.25	9.96	V	predict
CO	p	1	16	186	1.827664	54100.7342	1:11:24.9	+46:57:50	11.1	12.1	11.1	P	predict
CO	s	1	16	186	1.827664	26986.424	1:11:24.9	+46:57:50	11.1	12.1	11.1	P	predict
CP	p	7	3	52	3.608974	27718.544	2:12:51.3	+45:37:52	11.4	12.9	11.45	P	predict
CU	p	9	1	28	1.715987	29117.542	23:1:1.6	+49:58:26	12.5	16	12.5	P	predict
CZ	p	8	2	13	2.717148	31001.522	23:9:0.9	+49:36:52	12.4	13	12.4	P	predict
DK	p	1	10	35	0.489223	33925.662	23:28:45.86	+50:34:29.2	12.5	13.1	12.5	P	predict
DK	s	1	10	35	0.489223	33925.417	23:28:45.86	+50:34:29.2	12.5	13.1	12.5	P	predict
DO	p	7	3	84	1.34871	55480.3515	0:10:57.2	+42:6:40	12.2	13.1	12.2	P	predict
DO	s	7	3	84	1.34871	52860.48445	0:10:57.2	+42:6:40	12.2	13.1	12.2	P	predict
DS	p	1	12	110	1.010519	53023.1223	1:57:46.1	+38:4:29	10.4	10.9	10.7	V	predict
DS	s	1	12	110	1.010519	51547.258	1:57:46.1	+38:4:29	10.4	10.9	10.7	V	predict
DW	p	8	2	4	0.6287235	55093.3222	23:14:27.7	+42:1:15	13.6	14.4	13.6	P	predict
DW	s	8	2	4	0.6287235	55093.6366	23:14:27.7	+42:1:15	13.6	14.4	13.6	P	predict
EL	p	9	1	4	5.24273	51473.615	1:26:28	+44:56:13	13.28	13.7	13.28	c	predict
EP	p	1	65	441	0.40411	54802.6338	1:42:29.4	+44:45:43	11.9	12.5	12.5	P	predict
EP	s	1	65	441	0.40411	55042.4743	1:42:29.4	+44:45:43	11.9	12.5	12.5	P	predict
EX	p	8	2	70	1.632506	55386.524	23:39:51.9	+47:45:2	12.7	14.1	13	P	predict
EX	s	8	2	70	1.632506	54360.4979	23:39:51.9	+47:45:2	12.7	14.1	13	P	predict
FK	p	10	0	5	2.269408	53381.3059	1:7:3.2	+37:29:5	14	16.8	14	P	predict
FL	p	7	3	10	0.905648	38238.465	1:8:1.4	+36:53:22	14.3	15.1	14.3	P	predict
FL	s	7	3	10	0.905648	38238.918	1:8:1.4	+36:53:22	14.3	15.1	14.3	P	predict
FY	p	10	0	5	1.374416	47469.461	23:23:28.65	+50:15:57.9	15	16.5	15	P	predict
GH	p	10	0	18	1.103767	51337.662	23:37:40.4	+50:14:34	13.5	14.5	13.5	P	predict
GK	p	4	6	53	2.009328	55501.7107	23:53:47.2	+45:34:45	11.3	12.4	11.5	P	predict
GW	p	9	1	3	2.27928	41278.329	0:35:9.4	+41:40:3	14.6	17.4	14.6	B	predict
GZ	p	1	27	256	0.3050177	55038.4709	2:12:13.73	+44:39:23.6	10.83	11.61	11.58	V	predict
GZ	s	1	27	256	0.3050177	54844.32666	2:12:13.73	+44:39:23.6	10.83	11.61	11.58	V	predict
HR	p	8	2	3	1.2357	40812.46	0:33:46.68	+44:4:9.8	14.7	15.4	14.7	P	predict
HS	p	7	3	46	1.85719	46321.634	0:34:33.8	+41:20:5	12.7	14.1	12.7	P	predict
HU	p	10	0	5	0.2857905	37261.355	0:39:29.69	+40:4:59.8	16.5	17.2	17.2	B	predict
HU	s	10	0	5	0.2857905	53386.6583	0:39:29.69	+40:4:59.8	16.5	17.2	17.2	B	predict
IL	p	10	0	2	0.86759	53694.667	0:46:13.52	+39:46:8.3	15.7	17	15.7	P	predict
IM	p	9	1	3	0.2703735	38327.585	0:46:46.8	+39:38:33	18.3	19	18.8	P	predict
IM	s	9	1	3	0.2703735	38327.45	0:46:46.8	+39:38:33	18.3	19	18.8	P	predict
IP	p	9	1	2	3.07996	55100.795	0:55:3.43	+40:37:1.3	16.8	17.3	16.8	P	predict
KN	p	7	3	73	2.262183	48233.519	2:36:8.8	+38:9:22	12.1	12.9	12.1	P	predict
KP	p	2	8	10	1.405395	55082.4143	23:9:56.45	+41:35:3.5	12.43	12.9	12.43	c	predict
KP	s	2	8	10	1.405395	55084.52441	23:9:56.45	+41:35:3.5	12.43	12.9	12.43	c	predict
LM	p	3	7	19	0.761178	43837.475	2:11:9.2	+48:51:35	12.2	13.5	12.7	P	predict
LO	p	1	32	283	0.380437	44081.608	23:27:6.7	+45:33:22	11.2	11.82	11.82	V	predict
LO	s	1	32	283	0.380437	56187.3034	23:27:6.7	+45:33:22	11.2	11.82	11.82	V	predict
LW	p	9	1	1	0.472811	55488.703	2:19:38	+38:27:26.6	15.5	16.4	15.5	P	predict
LY	p	4	6	76	0.345031	45673.535	2:21:52.5	+38:37:42	13.8	14.65	13.8	c	predict
LY	s	4	6	76	0.345031	45673.708	2:21:52.5	+38:37:42	13.8	14.65	13.8	c	predict
MN	p	10	0	2	0.61065	53765.611	2:22:51.14	+41:55:35.1	15.1	16.2	15.1	P	predict
MO	p	5	5	14	1.93046	55543.6483	2:23:53.6	+39:59:4	13.2	16.2	13.2	P	predict
MS	p	10	0	2	0.7779	53706.849	2:25:46.86	+39:58:45.5	15.8	16.2	15.8	P	predict
MT	p	8	2	3	0.358775	55892.89	2:27:4.78	+40:3:28.5	14.8	15.3	14.8	P	predict
MT	s	8	2	3	0.358775	55893.068	2:27:4.78	+40:3:28.5	14.8	15.3	14.8	P	predict
MW	p	9	1	3	0.26377	51523.637	2:31:29	+39:41:19.9	13.95	14.9	13.95	c	predict
NZ	p	7	3	20	0.899668	45336.178	1:23:44.77	+36:30:7.2	14.9	16.3	14.9	P	predict
OT	p	10	0	7	20.8529	51425.4354	23:20:1.19	+41:45:17.4	7.32	7.72	7.32	V	predict
OT	s	10	0	7	20.8529	51853.3856	23:20:1.19	+41:45:17.4	7.32	7.72	7.32	V	predict
PP	p	10	0	13	2.71649	53765.614	2:10:42.52	+38:18:31.5	14.3	16.6	14.3	P	predict
QR	p	7	3	10	0.660465	48887.509	0:19:49.9	+21:56:52	12.16	12.69	12.16	V	predict
QS	p	9	1	2	0.276678	55486.772	0:21:40.56	+28:9:27.6	16.67	17.09	16.67	V	predict
QW	p	5	5	15	0.49187	55469.9016	1:18:48.28	+49:39:36.8	12.6	13	12.6	V	predict
QW	s	5	5	15	0.49187	50053.671	1:18:48.28	+49:39:36.8	12.6	13	12.6	V	predict
QX	p	1	9	38	0.412173	46795.75	1:57:57.21	+37:48:26.5	11.25	11.57	11.25	V	predict
QX	s	1	9	38	0.412173	54406.31845	1:57:57.21	+37:48:26.5	11.25	11.57	11.25	V	predict
V 348	p	10	0	1	5.5392	48504.07	0:15:17.83	+44:12:12.2	6.75	6.9	6.75	c	predict
V 363	p	8	2	7	1.277973	48500.398	1:31:46.57	+36:5:38	9.099	9.351	9.099	c	predict
V 363	s	8	2	7	1.277973	48501.037	1:31:46.57	+36:5:38	9.099	9.351	9.099	c	predict
V 372	p	3	7	9	2.941011	55877.48043	2:5:18.18	+45:5:34.1	9.048	9.532	9.048	V	predict
V 372	s	3	7	9	2.941011	55561.32461	2:5:18.18	+45:5:34.1	9.048	9.532	9.048	V	predict
V 376	p	1	9	25	0.798672	48500.742	2:35:11.59	+49:51:37.3	7.683	8.002	7.683	V	predict
V 376	s	1	9	25	0.798672	53304.3583	2:35:11.59	+49:51:37.3	7.683	8.002	7.683	V	predict
V 382	p	8	2	4	1.479	48501.1049	23:9:57.97	+42:50:9.3	9.176	9.409	9.176	V	predict
V 392	p	8	2	3	4.046275	48035.107	23:38:48.73	+44:24:45.3	9.07	9.41	9.07	V	predict
V 395	p	9	1	2	0.6847	48699.9945	23:44:32.1	+46:22:49	7.55	7.62	7.6	V	predict
V 395	s	9	1	2	0.6847	48700.337	23:44:32.1	+46:22:49	7.55	7.62	7.6	V	predict
V 404	p	1	13	26	0.676034	50784.5434	1:1:24	+41:15:1	10.8	11.4	11.3	V	predict
V 404	s	1	13	26	0.676034	50784.883	1:1:24	+41:15:1	10.8	11.4	11.3	V	predict
V 406	p	9	1	10	2.165016	48430.0254	2:35:25.6	+45:56:3.2	9.2	9.4	9.39	V	predict
V 406	s	9	1	10	2.165016	50795.313	2:35:25.6	+45:56:3.2	9.2	9.4	9.39	V	predict
V 411	p	10	0	1	0.8114528	30253.333	23:40:28.26	+50:33:0.4	15	16.1	15	P	predict
V 412	p	4	6	14	1.908735	54769.7531	23:53:38.58	+45:37:21.2	11.7	12.15	11.7	R	predict
V 412	s	4	6	14	1.908735	54423.3193	23:53:38.58	+45:37:21.2	11.7	12.15	11.7	R	predict
V 413	p	10	0	1	50.119	50833.754	23:54:4.04	+39:16:57	7.61	8.46	7.61	U	predict
V 422	p	4	6	34	1.015595	55398.4857	23:7:57.14	+50:11:43.9	13.4	14	13.4	P	predict
V 422	s	4	6	34	1.015595	29161.088	23:7:57.14	+50:11:43.9	13.4	14	13.4	P	predict
V 425	p	6	4	24	1.42073	48177.517	23:27:37.3	+50:17:16	13.3	14.6	13.3	P	predict
V 440	p	6	4	24	1.582575	52900.1019	0:26:49.4	+41:49:9	12.64	13.24	12.64	c	predict
V 440	s	6	4	24	1.582575	55154.4819	0:26:49.4	+41:49:9	12.64	13.24	12.64	c	predict
V 441	p	4	6	11	0.469656	54768.7252	0:56:44.22	+41:29:23	13.48	14.25	14.2	c	predict
V 441	s	4	6	11	0.469656	52931.195	0:56:44.22	+41:29:23	13.48	14.25	14.2	c	predict
V 444	p	7	3	12	0.46878	52914.2861	1:15:28.73	+41:19:59	13.04	13.74	13.7	c	predict
V 444	s	7	3	12	0.46878	52914.5205	1:15:28.73	+41:19:59	13.04	13.74	13.7	c	predict
V 449	p	1	9	12	0.338516	51370.881	2:9:46.9	+46:43:17	12.2	12.9	12.2	V	predict
V 449	s	1	9	12	0.338516	51371.05	2:9:46.9	+46:43:17	12.2	12.9	12.2	V	predict
V 452	p	6	4	5	0.978438	55071.5098	23:18:59.22	+48:31:30.8	13.8	15.14	13.8	c	predict
V 452	s	6	4	5	0.978438	55873.3397	23:18:59.22	+48:31:30.8	13.8	15.14	13.8	c	predict
V 458	p	10	0	1	2.2904	51515.897	1:44:2.2	+48:2:44	12.2	12.32	12.2	c	predict
V 462	p	10	0	1	4.279	51483.638	23:19:27.4	+45:54:25	12.25	12.81	12.78	c	predict
V 463	p	1	9	10	0.406091	51446.874	23:20:13.8	+37:8:39	12.15	13.05	12.5	c	predict
V 463	s	1	9	10	0.406091	51447.077	23:20:13.8	+37:8:39	12.15	13.05	12.5	c	predict
V 467	p	10	0	4	0.215	54342.5072	0:0:6.5	+35:22:0	15.43	15.73	15.43	V	predict
V 468	p	10	0	1	6.3924	51511.61704	0:9:46.52	+40:11:34.8	10.9	11.6	10.9	c	predict
V 469	p	10	0	1	0.3281	52859.5092	0:11:22.1	+42:5:39	15.1	15.9	15.1	V	predict
V 472	p	10	0	1	0.85056	51384.362	0:15:50.06	+41:28:3.1	13.25	13.6	13.5	c	predict
V 473	p	2	8	9	0.4013	51442.752	0:16:5.37	+41:51:24.2	13.8	14.3	14.15	c	predict
V 473	s	2	8	9	0.4013	55878.526	0:16:5.37	+41:51:24.2	13.8	14.3	14.15	c	predict
V 474	p	10	0	1	0.52042	51359.654	0:16:50.06	+43:44:56	13.5	13.85	13.8	c	predict
V 477	p	10	0	1	0.36255	51448.945	0:18:31.35	+30:25:57.7	13.65	13.95	13.95	c	predict
V 480	p	9	1	2	0.510024	55836.3021	0:19:12.73	+33:1:11.5	12.75	13.05	13	c	predict
V 482	p	10	0	1	11.284	51475.7	0:20:34.6	+40:25:6	11.25	11.45	11.25	c	predict
V 483	p	1	9	10	0.297066	51497.684	0:20:35.27	+40:4:16.8	11.97	12.2	12.2	R	predict
V 483	s	1	9	10	0.297066	51497.833	0:20:35.27	+40:4:16.8	11.97	12.2	12.2	R	predict
V 484	p	10	0	1	0.349	51492.02	0:21:5.4	+32:29:17	13	13.28	13.28	c	predict
V 485	p	10	0	1	1.03257	51505.709	0:21:19.18	+35:24:15.4	11.08	11.23	11.22	R	predict
V 487	p	9	1	2	1.040695	55830.5409	0:21:27	+30:13:23	11.6	11.76	11.74	c	predict
V 488	p	10	0	1	0.68216	51512.492	0:22:6.02	+40:31:24.2	12.55	12.9	12.65	R	predict
V 489	p	8	2	6	0.422756	55511.7327	0:24:39.15	+24:55:22.4	12	13	12	0	predict
V 489	s	8	2	6	0.422756	54274.111	0:24:39.15	+24:55:22.4	12	13	12	0	predict
V 490	p	7	3	6	0.424183	54760.35611	0:26:48.7	+41:50:4	14.6	15.1	14.6	V	predict
V 490	s	7	3	6	0.424183	54760.56861	0:26:48.7	+41:50:4	14.6	15.1	14.6	V	predict
V 496	p	9	1	8	4.40262	53675.402	0:39:33.03	+27:30:29.3	13	15.4	13	p	predict
V 497	p	10	0	1	0.3051	51469.814	0:39:55.9	+34:14:52.6	14.7	15.5	15.3	R	predict
V 502	p	6	4	5	0.318889	51453.702	0:43:38.29	+30:12:44.9	13.8	14.2	14.15	R	predict
V 502	s	6	4	5	0.318889	56256.6562	0:43:38.29	+30:12:44.9	13.8	14.2	14.15	R	predict
V 504	p	10	0	1	0.648	51486.803	0:45:0.36	+38:43:56	13.4	13.7	13.6	R	predict
V 505	p	10	0	1	0.394145	51484.539	0:45:38.63	+37:28:29.1	13.8	14.6	14.6	R	predict
V 506	p	9	1	2	0.34345	51461.523	0:46:37.74	+31:51:17.4	13.6	14.4	14.2	R	predict
V 508	p	10	0	1	0.7752	51464.04	0:47:44.15	+36:2:23.2	12.15	12.45	12.4	R	predict
V 510	p	10	0	1	1.587	51479.957	0:49:23.12	+32:0:36.6	13.9	14.5	14.35	R	predict
V 512	p	10	0	1	0.74532	51462.627	0:52:17.31	+35:16:4.2	11.8	12.5	11.95	R	predict
V 512	s	10	0	1	0.74532	51463	0:52:17.31	+35:16:4.2	11.8	12.5	11.95	R	predict
V 513	p	10	0	1	3.76	51489.8	0:54:17.81	+39:45:10.3	12.8	13.2	12.9	R	predict
V 514	p	10	0	1	0.36693	51463.792	0:54:53.2	+35:28:3.1	13.9	14.3	14.15	R	predict
V 517	p	10	0	1	0.49053	51463.954	0:56:11.68	+35:49:10	13.3	13.6	13.6	R	predict
V 518	p	10	0	1	0.36115	51489.881	0:57:28.89	+40:1:43.6	13.5	13.9	13.85	R	predict
V 522	p	10	0	1	7.553	53598.128	1:3:28.9	+43:1:27.6	13.34	13.94	13.34	c	predict
V 523	p	10	0	1	0.52854	51478.765	1:5:37.98	+36:49:5.9	11.9	12.4	12.35	R	predict
V 525	p	10	0	1	1.429	51480.56	1:16:48.08	+34:18:10.4	11.2	11.55	11.5	R	predict
V 526	p	10	0	1	0.48558	51478.609	1:21:23.26	+35:50:12.3	14.3	15.1	14.6	R	predict
V 527	p	10	0	1	0.70065	51478.856	1:22:35.69	+34:19:35.9	10.65	11.05	11.5	R	predict
V 530	p	10	0	1	0.57723	51479.632	1:27:41.05	+33:51:55.5	12.6	13.3	13	R	predict
V 531	p	10	0	1	0.40633	51484.437	1:30:15.91	+33:39:18.5	11.4	11.6	11.55	R	predict
V 532	p	10	0	1	0.39902	51462.747	1:30:25.28	+39:18:29.6	13.5	13.8	13.75	R	predict
V 533	p	10	0	1	0.6032	51464.606	1:31:30.48	+38:9:51.8	13.8	14.4	14.05	R	predict
V 534	p	10	0	1	0.4073	51481.515	1:31:30.52	+34:55:52	14.2	14.6	14.6	R	predict
V 536	p	10	0	1	0.6415	51467.724	1:34:28.59	+39:50:25.7	14.2	14.6	14.6	R	predict
V 537	p	10	0	1	0.90075	51476.783	1:35:19.25	+37:46:37.7	11.4	11.75	11.65	R	predict
V 538	p	10	0	1	0.51875	51468.934	1:36:14.68	+38:4:34.3	13.9	14.3	14.2	R	predict
V 541	p	10	0	2	3.9761	51415.866	1:37:36.1	+38:3:57	12.58	13.47	12.7	R	predict
V 543	p	10	0	1	0.9264	51475.665	1:42:25.32	+37:55:24.8	11	11.8	11.15	R	predict
V 546	p	5	5	6	0.383021	51475.623	1:51:12.58	+43:49:7.6	11.2	11.8	11.2	c	predict
V 546	s	5	5	6	0.383021	55456.5558	1:51:12.58	+43:49:7.6	11.2	11.8	11.2	c	predict
V 547	p	10	0	1	1.953	51574.628	1:52:3	+37:48:9	11.38	11.76	11.38	c	predict
V 549	p	10	0	1	0.31596	51493.621	1:55:18.33	+40:55:33.1	14	14.5	14.4	R	predict
V 552	p	4	6	6	0.28133	54712.3808	1:57:39.91	+43:55:3.7	16.89	17.55	17.36	c	predict
V 553	p	6	4	4	0.30903	54776.5584	1:57:51.11	+44:2:14.7	17.12	17.68	17.52	c	predict
V 554	p	5	5	5	0.35291	54773.307	1:57:57.2	+44:27:50.9	16.32	16.78	16.72	c	predict
V 555	p	7	3	3	0.71681	54713.3508	1:58:18.23	+43:59:27	14.35	14.81	14.57	c	predict
V 556	p	1	9	9	0.43141	54775.5306	1:58:47.77	+44:33:4.8	14.55	14.8	14.7	c	predict
V 557	p	10	0	1	0.34744	51507.78	1:59:10.8	+38:12:32.7	14.2	15	14.8	R	predict
V 558	p	1	9	9	0.31092	54711.385	1:59:17.89	+44:7:57.8	15.62	16.1	15.99	c	predict
V 559	p	7	3	3	0.34708	54712.2955	2:0:24.69	+44:22:56.5	16.05	16.2	16.17	c	predict
V 560	p	8	2	2	0.88508	54713.4729	2:1:29.99	+44:29:14.9	13.91	14.26	14.23	c	predict
V 561	p	4	6	6	0.33479	54713.3474	2:2:3.61	+43:54:35.2	16.03	16.42	16.38	c	predict
V 563	p	8	2	3	0.303201	51478.76	2:2:40.08	+36:42:40.9	13.7	14.2	14	R	predict
V 563	s	8	2	3	0.303201	51478.9129	2:2:40.08	+36:42:40.9	13.7	14.2	14	R	predict
V 564	p	4	6	6	0.39177	54774.3713	2:3:8.4	+44:10:23.4	13.98	14.07	14.06	c	predict
V 565	p	8	2	2	0.32978	54775.587	2:3:27.78	+44:14:51	12.17	12.3	12.25	c	predict
V 566	p	8	2	4	0.389708	51478.78	2:7:20.03	+35:38:55.4	10.85	11.3	11.25	R	predict
V 566	s	8	2	4	0.389708	51478.97485	2:7:20.03	+35:38:55.4	10.85	11.3	11.25	R	predict
V 567	p	10	0	1	3.0155	51510.265	2:7:59.52	+40:17:56.2	11.7	12.3	11.7	R	predict
V 568	p	9	1	2	0.394287	56279.6244	2:13:5.43	+40:49:31.2	13.9	14.5	14.4	R	predict
V 571	p	9	1	2	0.357641	56214.8637	2:19:13.83	+37:54:5.2	13.7	14.2	14.1	R	predict
V 575	p	10	0	1	0.678	51504.76	2:28:44.32	+37:28:59.3	12	12.4	12.35	R	predict
V 579	p	10	0	1	0.338134	51448.643	22:59:11.09	+36:21:17.8	12.5	12.8	12.8	R	predict
V 593	p	10	0	1	0.37216	51450.75	23:3:44.07	+36:15:22.9	12.8	13.1	13.05	R	predict
V 600	p	7	3	4	0.396792	51400.783	23:6:36.25	+47:15:30.9	12.64	12.64	12.64	p	predict
V 600	s	7	3	4	0.396792	51400.981	23:6:36.25	+47:15:30.9	12.3	12.76	12.3	c	predict
V 601	p	9	1	1	1.2121	55441.352	23:6:38.12	+49:23:27.5	11.73	12.2	11.73	c	predict
V 613	p	7	3	28	0.937905	48164.6528	23:10:12.46	+47:34:14.9	8.79	10	8.9	V	predict
V 625	p	10	0	1	0.24958	51447.9	23:15:40.32	+36:8:52.9	14.2	14.8	14.7	R	predict
V 629	p	8	2	2	0.7426	55820.389	23:16:52.99	+44:29:18.3	11.2	11.66	11.2	c	predict
V 629	s	8	2	2	0.7426	55794.767	23:16:52.99	+44:29:18.3	11.2	11.66	11.2	c	predict
V 634	p	10	0	1	0.5774	51453.946	23:19:22.34	+36:49:9.3	14.4	15.4	14.9	R	predict
V 641	p	10	0	1	0.69491	51449.741	23:21:23.99	+40:21:58.9	13.4	13.85	13.55	R	predict
V 645	p	8	2	3	0.41256	51483.589	23:23:0.68	+49:14:33.8	13.05	13.45	13.05	c	predict
V 645	s	8	2	3	0.41256	55881.7072	23:23:0.68	+49:14:33.8	13.05	13.45	13.05	c	predict
V 648	p	10	0	1	0.5321	51455.876	23:23:51.91	+39:32:33.7	13.45	14.1	13.7	R	predict
V 664	p	10	0	1	0.4211	51425.644	23:28:59.5	+35:24:43.6	12.58	12.85	12.83	c	predict
V 667	p	7	3	4	0.6945	51443.74	23:29:43.28	+48:36:56.6	12.9	13.3	12.9	c	predict
V 673	p	10	0	1	1.629275	53258.41761	23:31:3	+35:55:46	11.14	11.4	11.14	c	predict
V 676	p	10	0	1	0.364527	53255.33974	23:34:16	+36:39:57	12.86	13.26	12.86	c	predict
V 678	p	8	2	2	0.36169	55506.7059	23:35:12.28	+44:39:33.5	13.72	14.14	13.72	c	predict
V 683	p	8	2	3	1.557415	51573.628	23:36:27.78	+44:7:24.2	10.43	10.9	10.43	c	predict
V 683	s	8	2	3	1.557415	56232.6355	23:36:27.78	+44:7:24.2	10.43	10.9	10.43	c	predict
V 687	p	10	0	1	0.395043	53254.41448	23:38:27	+36:34:50	11.68	11.83	11.68		predict
V 692	p	6	4	5	0.338021	51453.635	23:39:12.4	+45:27:51.6	12.5	12.5	12.5	p	predict
V 692	s	6	4	5	0.338021	51453.804	23:39:12.4	+45:27:51.6	12.5	12.5	12.5	p	predict
V 696	p	10	0	1	0.798466	53254.47153	23:41:14	+35:24:38	12.85	13.26	12.85		predict
V 702	p	10	0	1	0.340714	53256.5204	23:43:50	+35:49:20	13.3	13.69	13.3		predict
V 705	p	10	0	1	0.354665	53255.35023	23:45:21	+34:8:21	11.12	11.4	11.12		predict
V 706	p	10	0	2	1.429164	53592.491	23:48:19	+34:48:33	11.43	12.8	11.43	c	predict
V 707	p	10	0	5	2.5885	53703.29485	23:48:23	+36:18:39	9.93	10.42	9.93	c	predict
V 707	s	10	0	5	2.5885	53261.955	23:48:23	+36:18:39	9.93	10.42	9.93	c	predict
V 710	p	10	0	1	0.219197	53258.7804	23:51:19	+33:33:51	14.01	14.37	14.01		predict
V 712	p	10	0	1	0.367193	53256.09208	23:54:39	+36:45:16	10.03	10.24	10.03	c	predict
V 713	p	10	0	1	0.318456	53255.88208	23:55:8	+33:22:28	12.01	12.13	12.01		predict
V 714	p	10	0	1	2.498501	53258.36916	23:56:30	+36:28:54	12	12.48	12	c	predict
G2837.1343	p	8	2	3	0.266628	53288.51197	2:0:9.13	+43:2:42.5	11.9	12.35	12.3	c	predict
G2837.1343	s	8	2	3	0.266628	53288.64528	2:0:9.13	+43:2:42.5	11.9	12.35	12.3	c	predict
G3272.0147	p	10	0	2	7.8686	52905.59	1:17:35.25	+49:46:17	14.165	14.222	14.195	B	predict
G3272.0147	s	10	0	2	7.8686	52901.691	1:17:35.25	+49:46:17	14.165	14.222	14.195	B	predict
G3285.1748	p	9	1	1	0.43823514	55515.348	2:12:2.49	+47:23:28.2	12.58	13.26	12.58	c	predict
zet	p	10	0	5	17.7693	45253.18	0:47:20.39	+24:16:2.6	3.92	4.14	4.02	V	predict
zet	s	10	0	5	17.7693	45262.047	0:47:20.39	+24:16:2.6	3.92	4.14	4.02	V	predict

TABLE LEGEND:
Star - object designation, 2nd column - primary / secondary minimum, 3rd column - "neglection rating" in last 10 years, N10 - number of data in last 10 years, N - all data amount, both CCD, visual and photographic has the same weight of 1 point, PERIOD - orbtial period in days, MIN0 - basic minimum, RA 2000 - right acscension, DE 2000 - declination, MAX - brightness in maximum (mag), MINP - brightness in primary minimum, MINS - brightness in secondary minimum, spectral band, in which max, minp and mins are given.

NEGLECTION RATING LEGEND:
For each object, all known observations were counted (in O-C gateway) in last 10 years. 1 CCD minimum got value 1, 1 visual / pg minimum got value 0,1.
For example 1 CCD minimum + 1 visual minimum => N10 = 1.1
Such N10 value, it was substracted 10 - N10 and rounded to integer. The result is neclection rating.